• Testicular involvement of Brucellosis: A 10-year, multicentre study 

  Güler Dinçer, Nevin; Çelik, Mehmet; Akgül, Fethiye; Alkan, Sevil; Altındağ, Sevin (2023)

  Introduction: The genito-urinary system is one of the most common areas of involvement in brucellosis. To present the epidemiological, clinical, and laboratory characteristics of patients with testicular involvement ...

• Modified Local Linear Estimators in Partially Linear Additive Models with Right-Censored Data Based on Different Censorship Solution Techniques 

  Yılmaz, Ersin; Aydın, Dursun; Ahmed, Syed Ejaz (MDPI, 2023)

  This paper introduces a modified local linear estimator (LLR) for partially linear additive models (PLAM) when the response variable is subject to random right-censoring. In the case of modeling right-censored data, PLAM ...

• Estimation of Right-censored SETAR-type Nonlinear Time-series Model 

  Ahmed, Syed Ejaz; Aydın, Dursun; Yılmaz, Ersin (EDP Sciences, 2023)

  This paper focuses on estimating the Self-Exciting Threshold Autoregressive (SETAR) type time-series model under right-censored data. As is known, the SETAR model is used when the underlying function of the relation-ship ...

• Using machine learning algorithms to identify predictors of social vulnerability in the event of a hazard: Istanbul case study 

  Kalaycıoğlu, Oya; Akhanlı, Serhat Emre (COPERNICUS GESELLSCHAFT MBH, 2023)

  What extent an individual or group will be affected by the damage of a hazard depends not just on their exposure to the event but on their social vulnerability - that is, how well they are able to anticipate, cope with, ...

• Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm 

  Gökçeoğlu,Candan; Aladağ, Çağdaş Hakan; Bal, Çağatay (Springer Science and Business Media Deutschland GmbH, 2023)

  Prediction of tunnel boring machine (TBM) performance is still a challenging research subject in engineering geology, geotechnical engineering, and tunnel engineering communities. The longest railway tunnel with approximately ...

• Right-censored partially linear regression model with error in variables: application with carotid endarterectomy dataset 

  Aydın, Dursun; Yılmaz, Ersin (WALTER DE GRUYTER GMBH, 2023)

  This paper considers a partially linear regression model relating a right-censored response variable to predictors and an extra covariate with measured error. The main problem here is that censorship and measurement error ...

• Clustering of football players based on performance data and aggregated clustering validity indexes 

  Akhanlı, Serhat Emre; Hennig, Christian (WALTER DE GRUYTER GMBH, 2023)

  We analyse football (soccer) player performance data with mixed type variables from the 2014-15 season of eight European major leagues. We cluster these data based on a tailor-made dissimilarity measure. In order to decide ...

• Investigation of Stillbirth Rate Using Logistic Regression Analysis in Holstein Friesian Calves 

  Takma, Çiğdem; İşçi Güneri, Öznur; Gevrekçi, Yakut; Akbaş, Yavuz (Ege Universitesi, 2023)

  Logistic relationship regression of independent analysis is variable(s) amethod with to determine dependent the variable, reason-result which has binary or multiple categorical structures. In this study, sex of calf, parity ...

• Determining confidence interval and asymptotic distribution for parameters of multiresponse semiparametric regression model using smoothing spline estimator 

  Lestari, Budi; Chamidah, Nur; Nyoman Budiantara I.; Aydın, Dursun (Elsevier B.V., 2023)

  The multiresponse semiparametric regression (MSR) model is a regression model with more than two response variables that are mutually correlated, and its regression function is composed of parametric and nonparametric ...

• Validation of a blood gas device for ionized calcium analysis in Holstein cows 

  Deniz, Abdülkerim; Metin, Mert; Aksoy, Kemal; Pekmezci, Aytaç (American Society for Veterinary Clinical Pathology, 2023)

  Background: Accurate analysis of ionized calcium (iCa) is critical for the detection of hypocalcemia or subclinical hypocalcemia. The Edan i15 Vet (EDAN) blood gas device has not been validated for iCa in dairy cows. ...

• Modelling Right-Censored Data with Partially Linear Model and Feed Forward Neural Networks: A Methodological Study 

  Bal, Çağatay; Yılmaz, Ersin (Türkiye klinikleri, 2022)

  Objective: Modeling right-censored data becomes a challenging task in survival analysis, due to having an incomplete data structure. When the response variable is rightcensored, classical estimation methods cannot be used ...

• Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand 

  Sevinç, Volkan; Küçük, Ömer (Elsevier B.V., 2023)

  Modeling forest fire behavior is very important for the effective control of forest fires and the setting up of necessary precautions before fires start. However, studies of forest fire behavior are complex studies that ...

• Assessment of the effects of the biotic and abiotic harmful factors on the amount of industrial wood production with deep learning 

  Sevinç, Volkan (Springer Science and Business Media Deutschland GmbH, 2023)

  The protection and sustainability of forest assets is possible with planned production of forest products to lead to minimum loss. One of the products obtained from forests is the industrial wood, which is the most important ...

• A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models 

  Aydın, Dursun; Ahmed, Syed Eja; Yılmaz, Ersin (John Wiley and Sons Inc, 2022)

  This paper aims to present an overview of Semiparametric additive models. An estimation of the finite-parameters of semiparametric regression models that involve additive nonparametric components is explained, including ...

• A comparison between the Bayesian network model and the logistic regression model in prevention of the defects on ceramic tiles 

  Sevinç, Volkan; Kırca, Meryem Merve (Taylor and Francis Ltd., 2022)

  One of the most important problems encountered in ceramic tile industry is defective product problem. Defective ceramics lead to loss of income and waste of resources in enterprises. However, it is generally unknown that ...

• An adjustment degree of fitting on fuzzy linear regression model toward manufacturing income 

  Ramly, Nurfarawahida; Rusiman, Mohd Saifullah; Ismail, Shuhaida; Suparman; Hamzah, Firdaus Mohamad; Gürünlü Alma, Özlem (Institute of Advanced Engineering and Science, 2023)

  The regression analysis is a common tool in data analysis, while fuzzy regression can be used to analyze uncertain or imprecise data. Manufacturing companies often having difficulty predicting their future income. Thus, a ...

• Penalty and Shrinkage Strategies Based on Local Polynomials for Right-Censored Partially Linear Regression 

  Ahmed, Syed Ejaz; Aydın, Dursun; Yılmaz, Ersin (MDPI, 2022)

  This study aims to propose modified semiparametric estimators based on six different penalty and shrinkage strategies for the estimation of a right-censored semiparametric regression model. In this context, the methods ...

• Criteria for Best Architecture Selection in Artificial Neural Networks 

  Bal, Çağatay; Demir, Serdar (World Scientific Publishing Co., 2022)

  Architecture selection in artificial neural networks is a critical process which determines a satisfactory neural network model(s) that will lead to the most accurate results. The architecture that minimizes the difference ...

• Time Series Modeling with Deep Neural Networks 

  Bal, Çağatay; Aladağ, Çağdaş Hakan (World Scientific Publishing Co., 2022)

  Deep neural networks are the latest among powerful artificial intelligence tools. As advanced forms of artificial neural networks, deep nets can be used in various fields and also time series forecasting. Time series ...

• Analysis of the Relations Between Forestry Financial Supports and Forest Crimes 

  Sevinç, Volkan (PMC, 2022)

  Forest crimes are among the serious threats destroying forests. To prevent the forest crimes there are various solutions proposed, such as fortification of the laws, increasing the penalties, or increasing the public ...

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